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The stochastic block model (SBM) is a mixture model used for the clustering of nodes in networks.
Who shall survive?: a new approach to the problem of Human interrelations
Moreno, J. L. (1934) · 1934
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An invariant form for the prior probability in estimations problems
Jeffreys, H. (1946) · 1946
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Social structure from multiple networks. i. blockmodels of roles and positions
White, H., Boorman, S., and Breiger, R. (1976) · 1976
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Categorical data analysis of single sociometric relations
Fienberg, S. and Wasserman, S. (1981) · 1981
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On the statistical analysis of dirty pictures (with discussions)
Besag, J. (1986) · 1986
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The structure of the nervous system of the nematode caenorhabditis elegans
White, J. G., Southgate, E., Thompson, J. N., and Benner, S. (1986) · 1986
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Stochastic block models : First steps
Holland, J., Laskey, K., and Leinhard, S. (1993) · 1993
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Collective dynamics of small-world networks
Watts, D. J. and Strogatz, S. H. (1998) · 1998
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Assessing a mixture model for clustering with the integrated completed likelihood
Biernacki, C., Celeux, G., and Govaert, G. (2000) · 2000
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Normalized cuts and image segmentation
Shi, J. and Malik, J. (2000) · 2000
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Estimation and prediction for stochastic blockstructures
Nowicki, K. and Snijders, T. A. B. (2001) · 2001
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Community structure in social and biological networks
Girvan, M. and Newman, M. E. J. (2002) · 2002
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Latent space approaches to social network analysis
Hoff, P., Raftery, A., and Handcock, M. (2002) · 2002
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Network motifs: simple building blocks of complex networks
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, D., Chklovskii, D., and Alon, U. (2002) · 2002
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The political blogosphere and the 2004 us election
Adamic, L. and Glance, N. (2005) · 2004
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Network biology: understanding the cell’s functional organization
Barabási, A. L. and Oltvai, Z. N. (2004) · 2004
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Fast algorithm for detecting community structure in networks
Newman, M. E. J. (2004) · 2004
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Spectral measures of bipartivity in complex networks
Estrada, E. and Rodriguez-Velazquez, J. A. (2005) · 2005
Cited alongside, same era.
Mixed membership stochastic block models for relational data with application to protein-protein interactions
Airoldi, E., Blei, D., Xing, E., and Fienberg, S. (2006) · 2006
Cited alongside, same era.
Motif search in graphs: pplication to metabolic networks
Lacroix, V., Fernandes, C., and Sagot, M.-F. (2006) · 2006
Cited alongside, same era.
Modularity and community structure in networks
Newman, M. E. J. (2006) · 2006
Cited alongside, same era.
Mixed membership analysis of high-throughput interaction studies: relational data
Airoldi, E., Blei, D., Fienberg, S., and Xing, E. (2007) · 2007
Cited alongside, same era.
Resolution limit in community detection
Fortunato, S. and Barthélemy, M. (2007) · 2007
Advances in Data Analysis Data Handling and Business Intelligence , chapter Bayesian methods for graph clustering, pages 229–239
Latouche, P., Birmelé, E., and Ambroise, C. (2009) · 2009
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Exact and monte carlo calculations of integrated likelihoods for the latent class model
Biernacki, C., Celeux, G., and Govaert, G. (2010) · 2010
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The noise cluster model, a greedy solution to the network community extraction problem
Côme, E. and Diemert, E. (2010) · 2010
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A survey of statistical network models
Goldenberg, A., Zheng, A., Fienberg, S., and Airoldi, E. (2010) · 2010
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Uncovering latent structure in valued graphs: a variational approach
Mariadassou, M., Robin, S., and Vacher, C. (2010) · 2010
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Cited alongside, same era.
Model-based clustering for social networks
Handcock, M. S., Raftery, A. E., and Tantrum, J. M. (2007) · 2007
Cited alongside, same era.
Mixture models and exploratory analysis in networks
Newman, M. and Leicht, E. (2007) · 2007
Cited alongside, same era.
Bayesian finite mixtures with an unknown number of components: the allocation sampler
Nobile, A. and Fearnside, A. (2007) · 2007
Cited alongside, same era.
Quantifying social group evolution
Palla, G., Barabási, A., and Vicsek, T. (2007) · 2007
Cited alongside, same era.
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E. (2008) · 2008
Cited alongside, same era.
Batch kernel som and related laplacian methods for social network analysis
Boulet, R., Jouve, B., Rossi, F., and Villa, N. (2008) · 2008
Cited alongside, same era.
Vinh, N. X. and Epps, J. (2010) · 2010
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Strategies for online inference of network mixture
Zanghi, H., Picard, F., Miele, V., and Ambroise, C. (2010) · 2010
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Stochastic blockmodels and community structure in networks
Karrer, B. and Newman, M. E. J. (2011) · 2011
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Overlapping stochastic block models with application to the french political blogosphere
Latouche, P., Birmelé, E., and Ambroise, C. (2011) · 2011
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Consitent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown
Fishkind, D., Sussman, D., Tang, M., Vogelstein, J., and Priebe, C. (2012) · 2012
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Variational bayesian inference and complexity control for stochastic block models
Latouche, P., Birmelé, E., and Ambroise, C. (2012) · 2012
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Model selection for degree-corrected block models
Yan, X., Jensen, J. E., Krzakala, F., Moore, C., Shalizi, C.and Zdeborová, L., Zhang, P., and Zhu, Y. (2012) · 2012
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Zhu, Y., Yan, X., and Moore, C. (2012) · 2012
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Hypothesis testing for automated community detection in networks
Bickel, P. and Sarkar, P. (2013) · 2013
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Improved bayesian inference for the stochastic block model with application to large networks
Mc Daid, A., Murphy, T., N., F., and Hurley, N. (2013) · 2013
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Mixed-membership stochastic blockmodels
Airoldi, E. M., Blei, D. M., Fienberg, S. E., and Xing, E. P. (2008) · 2014
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